This course is an introduction to the key ideas and principlesof the collection, display, and analysis of data to guide you in making valid and appropriate concl...
When you meet a new person, it is hard to know what to expect. You may not be able to read the person or understand what they mean. Even if you want to have a g...
Learn about descriptive statistics, and how they are used and misused in the social and behavioral sciences. Learn how to critically evaluate the use of descript...
Examination of the properties behind the basic concepts of probability and statistics, designed to teach you ways to investigate the relationships between variou...
Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for...
Review of basic statistics and an application of statistical tools and techniques that are routinely used by modern statisticians for building models to analyze ...
Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 1 of a 4-part s...
Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 2 of a 4-part s...
This course provides theoretical and practical training on the increasingly popular logisticregression model, which has become the standard analytical method for...
Regression modeling is the standard method for analysis of continuousresponse data. This course provides theoretical and practical training in statisticalmodelin...
This cross-disciplinary course deals with the undetermined, the unpredictable- or what appears to be such. Learn about the usefulness of randomness in communicat...
Detailed introduction of the fundamentals of probability theory and random processes. Topics will include: sample size, random experiments, outcome spaces, discr...
We will cover the following concepts from probability. Probability space, random variables, distribution functions, expectation, conditional expectation, Charact...
Algebra of sets, introduction to probability, random variables, probability distributions, moments, moment generating function, Markov and Chebyshev inequalities...
The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and t...
How should we interpret chance around us? Watch beautiful mathematical ideas emerge in a glorious historical tapestry as we discover key concepts in probability...
The course will start with the fundamentals steps involved in the development of any sample survey. The advantages over the complete enumeration will also be dis...
Point Estimation: Parametric point estimation, unbiasedness, consistency, efficiency, method of moments and maximum likelihood, lower bounds for the variance of ...
Learn how to draw conclusions about populations or scientific truths from data. This is the sixth course in the Johns Hopkins Data Science Course Track.
Learn about inferential statistics, and how they are used and misused in the social and behavioral sciences. Learn how to critically evaluate the use of inferent...
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